[t-SNE] Computing 91 nearest neighbors...
[t-SNE] Indexed 2973 samples in 0.016s...
[t-SNE] Computed neighbors for 2973 samples in 0.327s...
[t-SNE] Computed conditional probabilities for sample 1000 / 2973
[t-SNE] Computed conditional probabilities for sample 2000 / 2973
[t-SNE] Computed conditional probabilities for sample 2973 / 2973
[t-SNE] Mean sigma: 0.777516
[t-SNE] Computed conditional probabilities in 0.119s
[t-SNE] Iteration 50: error = 81.9715652, gradient norm = 0.0100671 (50 iterations in 1.202s)
[t-SNE] Iteration 100: error = 76.3905182, gradient norm = 0.0075767 (50 iterations in 1.071s)
[t-SNE] Iteration 150: error = 76.1502762, gradient norm = 0.0025023 (50 iterations in 1.073s)
[t-SNE] Iteration 200: error = 76.1214676, gradient norm = 0.0008617 (50 iterations in 1.003s)
[t-SNE] Iteration 250: error = 76.1113281, gradient norm = 0.0002502 (50 iterations in 0.892s)
[t-SNE] KL divergence after 250 iterations with early exaggeration: 76.111328
[t-SNE] Iteration 300: error = 1.8311273, gradient norm = 0.0010450 (50 iterations in 0.865s)
[t-SNE] Iteration 350: error = 1.5955327, gradient norm = 0.0003697 (50 iterations in 0.902s)
[t-SNE] Iteration 400: error = 1.5062371, gradient norm = 0.0002236 (50 iterations in 0.872s)
[t-SNE] Iteration 450: error = 1.4632170, gradient norm = 0.0001746 (50 iterations in 0.856s)
[t-SNE] Iteration 500: error = 1.4407314, gradient norm = 0.0001210 (50 iterations in 0.884s)
[t-SNE] Iteration 550: error = 1.4270586, gradient norm = 0.0001014 (50 iterations in 0.903s)
[t-SNE] Iteration 600: error = 1.4187080, gradient norm = 0.0000891 (50 iterations in 0.902s)
[t-SNE] Iteration 650: error = 1.4129567, gradient norm = 0.0000752 (50 iterations in 0.909s)
[t-SNE] Iteration 700: error = 1.4084603, gradient norm = 0.0000745 (50 iterations in 0.958s)
[t-SNE] Iteration 750: error = 1.4039099, gradient norm = 0.0001201 (50 iterations in 0.937s)
[t-SNE] Iteration 800: error = 1.4013151, gradient norm = 0.0000599 (50 iterations in 0.968s)
[t-SNE] Iteration 850: error = 1.3990448, gradient norm = 0.0000524 (50 iterations in 0.978s)
[t-SNE] Iteration 900: error = 1.3970108, gradient norm = 0.0000520 (50 iterations in 0.999s)
[t-SNE] Iteration 950: error = 1.3945500, gradient norm = 0.0000701 (50 iterations in 0.974s)
[t-SNE] Iteration 1000: error = 1.3926907, gradient norm = 0.0000480 (50 iterations in 0.932s)
[t-SNE] KL divergence after 1000 iterations: 1.392691